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[2020 TO 2024]
Results 1-5 of 5 (Search time: 0.001 seconds).
| Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link |
1 | 2022 | Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training | Wei‐Ru Lu; Wen‐Tse Yang; Justin Chu; Tung‐Han Hsieh ; Fu‐Liang Yang | Scientific Reports 12, 6506 | | | |
2 | 2021 | 90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c | Chu, Justin; Yang, Wen-Tse; Lu, Wei-Ru; Chang, Yao-Ting; Hsieh, Tung-Han ; Yang, Fu-Liang | Sensors 21(23), 7815 | | | |
3 | 2021 | One-Minute Finger Pulsation Measurement for Diabetes Rapid Screening with 1.3% to 13% False-Negative Prediction Rate | Justin Chu; Wen-Tse Yang; Tung-Han Hsieh ; Fu-Liang Yang | Biomedical Statistics and Informatics 6(1), 6-13 | | | |
4 | 2020 | Classification of Near-infrared Spectroscopic Glucose Concentrations Using Convolutional Neural Network | Bitewulign Kassa Mekonnen; Webb Yang; Tung-Han Hsieh ; Shien-Kuei Liaw; Fu-Liang Yang | | | | |
5 | 2020 | Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy | Bitewulign Kassa Mekonnen; Webb Yang; Tung-Han Hsieh ; Shien-Kuei Liaw; Fu-Liang Yang | Biomedical Signal Processing and Control 59, 101923 | | | |